This edited volume is a collection of selected research articles discussing the analysis of infectious diseases by using mathematical modelling in recent times. Divided into two parts, the book gives a general and country-wise analysis of Covid-19. Analytical and numerical techniques for virus models are presented along with the application of mathematical modelling in the analysis of their spreading rates and treatments. The book also includes applications of fractional differential equations as well as ordinary, partial and integrodifferential equations with optimization methods. Probability distribution and their bio-mathematical applications have also been studied. This book is a valuable resource for researchers, scholars, biomathematicians and medical experts.

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

This book gives a special emphasis to state-of-the-art descriptions of approaches, methods, initiatives, and projects from universities, stakeholders, organizations, and civil society across the world, regarding cross-cutting issues in sustainable development. There is a perceived need for mobilizing the various stakeholders when attempting to promote sustainability in higher education and to promote best practices, which may inspire further initiatives. But despite this need, there are a few publications handling this matter in a coherent way. In order to meet the pressing need for publications which may document and disseminate examples of best practice on sustainable development at university level, the “Handbook of Best Practices in Sustainable Development at University Level” is being published. This book is produced by the European School of Sustainability Science and Research (ESSSR), through the Inter-University Sustainable Development Research Programme (IUSDRP) and contains inputs from authors across all geographical regions. The book also discusses examples of initiatives coordinated by universities but involving civil society, the private sector, and public sector (including local, national, and intergovernmental bodies). In particular, it describes practical experiences, partnerships, networks, and training schemes for building capacity aimed at fostering the cause of sustainable development at institutions of higher education. Thanks to its design and the contributions by experts from various areas, it provides a welcome contribution to the literature on sustainable development, and it may inspire further works in this field.

This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic. Topics include (but are not limited to): modeling infectious and dynamic diseases; regulation of cell function; biological pattern formation; biological networks; tumor growth and angiogenesis; complex biological systems; Monte Carlo methods; Control theory, optimization and their applications

Infectious diseases are leading threats and are of highest risk to the human population globally. Over the last two years, we saw the transmission of Covid-19. Millions of people died or were forced to live with a disability. Mathematical models are effective tools that enable analysis of relevant information, simulate the related process and evaluate beneficial results. They can help to make rational decisions to lead toward a healthy society. Formulation of mathematical models for a pollution-free environment is also very important for society. To determine the system which can be modelled, we need to formulate the basic context of the model underlying some necessary assumptions. This describes our beliefs in terms of the mathematical language of how the world functions. This book addresses issues during the Covid phase and post-Covid phase. It analyzes transmission, impact of coinfections, and vaccination as a control or to decrease the intensity of infection. It also talks about the violence and unemployment problems occurring during the post-Covid period. This book will help societal stakeholders to resume normality slowly and steadily.

This book focuses on the main advancements made in the economics and social sciences field through the use of grey systems theory. As a result, it addresses both the state of the art and the applications of grey systems theory in economics and social sciences. The book is structured in eight main chapters, covering the following topics: the state of the art in the grey systems theory research in economics and social sciences, which includes a bibliometric analysis, a selection of the most well-cited papers in the field, and a selection of applications in which the grey systems theory is used in the areas of suppliers selection, risk assessment, public opinion assessment, linear programming, complex projects management, social media analysis, and natural language processing Each chapter gives an overview of a particular economic or social sciences topic, providing an explanation on the main terms and methods used for solving the problem, including the notations, terminology, and the needed steps to solve it. A practical application is presented in most of the chapters, while in the others, a series of case studies are presented from the literature and discussed in depth in terms of methods used and advantages brought by each of these methods. The last chapter discusses the hybridization cases in which the grey systems theory has been or can be successfully used along with other artificial intelligence methods and techniques for a more advanced analysis in the economics and social sciences field. The reasoning and the explanations used in the book are easy to understand for the interested persons who are not familiar to the field and want to learn more related on how the grey systems theory can be applied to economics and social sciences. As for the experts in this field, this book can be a good referral point for developing new areas of research by combining the advantages of the grey systems theory with other theories within the field.

This book explores the relationship between the gut microbiome and cancer, illuminating various facets from fundamental roles to personalized therapies. It provides a comprehensive overview of the impact of the gut microbiome on cancer development, offering potential for innovative diagnostic and treatment approaches. The book discusses the role of dysbiosis in cancer development, the influence of the microbiome on treatment responses, and strategies to modulate the microbiome for enhanced therapies. It reviews the influence of the gut microbiome on immunotherapy resistance and chemoresistance in cancer patients. Additionally, the book presents gut microbiome biomarkers for cancer diagnosis and prognosis, the implication of the gut-brain axis on cancer development and progression, and the impact of diet and lifestyle on the microbiome. Towards the end, the book investigates the role of the gut microbiome in pediatric cancer and provides an outlook on the future challenges, technological advancements, and ethical considerations of gut microbiome research in the context of personalized cancer therapies. This book is intended for cancer researchers, medical oncologists, clinicians, pharmacologists, translational investigators, and medical students.

Wave Fields in Real Media: Wave Propagation in Anisotropic, Anelastic, Porous and Electromagnetic Media examines the differences between an ideal and a real description of wave propagation, starting with the introduction of relevant constitutive relations. The differential formulation can be written in terms of memory variables, and Biot theory is used to describe wave propagation in porous media. For each constitutive relation, a plane-wave analysis is performed to illustrate the physics of wave propagation. New topics are the S-wave amplification function, Fermat principle and its relation to Snell law, bounds and averages of seismic Q, seismic attenuation in partially molten rocks, and more. This book contains a review of the main direct numerical methods for solving the equation of motion in the time and space domains. The emphasis is on geophysical applications for seismic exploration, but researchers in the fields of earthquake seismology, rock acoustics and material science - including many branches of acoustics of fluids and solids - may also find this text useful. - Examines the fundamentals of wave propagation in anisotropic, anelastic and porous media - Presents all equations and concepts necessary to understand the physics of wave propagation - Emphasizes geophysics, particularly seismic exploration for hydrocarbon reservoirs, which is essential for the exploration and production of oil

The book focuses on contemporary research on tourism, gastronomy, and tourist destinations presented at the 3rd Tourism Gastronomy and Destination International Conference (TGDIC 2021). It serves as a platform for knowledge and experience sharing and invites tourism scholars, practitioners, decision-makers, and stakeholders from all parts of society and from various regions of the world to share their knowledge, experience, concepts, examples of good practice, and critical analysis with their international peers. The research papers presented at the conference were organized into three main categories: tourism, gastronomy, and tourist destinations, written by authors from various countries such as Indonesia, China, India, Switzerland, UK, Portugal, and Hungary.

Today’s world is continually facing complex and life-threatening issues that are too difficult or even impossible to solve. These challenges have been titled “wicked” problems due to their radical and multifarious nature. Recently, there has been a focus on global cooperation and gathering creative and diverse methods from around the world to solve these issues. Accumulating research and information on these collective intelligence methods is vital in comprehending current international issues and what possible solutions are being developed through the use of global collaboration. The Handbook of Research on Using Global Collective Intelligence and Creativity to Solve Wicked Problems is a pivotal reference source that provides vital research on the collaboration between global communities in developing creative solutions for radical worldwide issues. While highlighting topics such as collaboration technologies, neuro-leadership, and sustainable global solutions, this publication explores diverse collections of problem-solving methods and applying them on a global scale. This book is ideally designed for scholars, researchers, students, policymakers, strategists, economists, and educators seeking current research on problem-solving methods using collective intelligence and creativity.